Abstract
In this paper, we present a preliminary study concerning the dynamic flows in memristor-based wavelet neural networks with continuous feedback functions and discontinuous feedback functions in the presence of different memductance functions. The theoretical studies as well as the computer simulations confirm our claim. The analysis can characterize the fundamental electrical properties of memristor devices and provide convenience for applications. © 2013 Wu et al.; licensee Springer.
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Wu, A., Zeng, Z., & Xiao, J. (2013). Dynamic evolution evoked by external inputs in memristor-based wavelet neural networks with different memductance functions. Advances in Difference Equations, 2013. https://doi.org/10.1186/1687-1847-2013-258
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